Triple

T3647327
Position Surface form Disambiguated ID Type / Status
Subject Princess of Lucca and Piombino E77331 entity
Predicate secondarySeatOfPower P48912 FINISHED
Object Piombino E152782 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Piombino | Statement: [Princess of Lucca and Piombino, secondarySeatOfPower, Piombino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piombino
Context triple: [Princess of Lucca and Piombino, secondarySeatOfPower, Piombino]
  • A. Piombino chosen
    Piombino is a coastal town and port in Tuscany, Italy, serving as a major mainland gateway to the island of Elba and other Tyrrhenian destinations.
  • B. Calvi
    Calvi is a coastal town and popular tourist destination on the northwest coast of the French island of Corsica, known for its historic citadel and scenic bay.
  • C. Capoliveri
    Capoliveri is a historic hilltop town and popular tourist resort on the Italian island of Elba, known for its medieval center and coastal beaches.
  • D. Portoferraio
    Portoferraio is the main town and administrative center of the Italian island of Elba, known for its historic harbor and association with Napoleon’s exile.
  • E. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38aa2388190bf1af926375e2433 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4dafa96ac81908cda04ca12722460 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:24 p.m.